import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class        UpperCamelCase						(				__a	,	unittest.TestCase				):
						a__		:List[str]      =			RoCBertTokenizer
						a__		:Optional[int]      =			None
						a__		:int      =			False
						a__		:List[Any]      =			True
						a__		:str      =			filter_non_english





						def        A_							(self						)				->				Optional[int]:
												super().setUp()

												UpperCamelCase_		:							List[str]  =		['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
												UpperCamelCase_		:							List[str]  =		{}
												UpperCamelCase_		:							Any  =		{}
												for i, value in enumerate(_A						):
																		UpperCamelCase_		:							Dict  =		i
																		UpperCamelCase_		:							Dict  =		i
												UpperCamelCase_		:							Union[str, Any]  =		os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["""vocab_file"""]						)
												UpperCamelCase_		:							Dict  =		os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["""word_shape_file"""]						)
												UpperCamelCase_		:							Any  =		os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["""word_pronunciation_file"""]						)
												with open(self.vocab_file			,     """w"""			,     encoding="""utf-8"""						) as vocab_writer:
																		vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)
												with open(self.word_shape_file			,     """w"""			,     encoding="""utf-8"""						) as word_shape_writer:
																		json.dump(_A			,     _A			,     ensure_ascii=_A						)
												with open(self.word_pronunciation_file			,     """w"""			,     encoding="""utf-8"""						) as word_pronunciation_writer:
																		json.dump(_A			,     _A			,     ensure_ascii=_A						)





						def        A_							(self						)				->				List[Any]:
												UpperCamelCase_		:							Tuple  =		self.tokenizer_class(self.vocab_file			,     self.word_shape_file			,     self.word_pronunciation_file						)

												UpperCamelCase_		:							Tuple  =		tokenizer.tokenize("""你好[SEP]你是谁"""						)
												self.assertListEqual(_A			,     ["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]						)
												self.assertListEqual(tokenizer.convert_tokens_to_ids(_A						)			,     [5, 6, 2, 5, 7, 8]						)
												self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_A						)			,     [5, 6, 2, 5, 7, 8]						)
												self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_A						)			,     [5, 6, 2, 5, 7, 8]						)





						def        A_							(self						)				->				Tuple:
												UpperCamelCase_		:							List[Any]  =		RoCBertBasicTokenizer()

												self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""						)			,     ["""ah""", """\u535A""", """\u63A8""", """zz"""]						)





						def        A_							(self						)				->				Dict:
												UpperCamelCase_		:							Dict  =		RoCBertBasicTokenizer(do_lower_case=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """						)			,     ["""hello""", """!""", """how""", """are""", """you""", """?"""]						)
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""						)			,     ["""hello"""]						)





						def        A_							(self						)				->				Tuple:
												UpperCamelCase_		:							str  =		RoCBertBasicTokenizer(do_lower_case=_A			,     strip_accents=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """						)			,     ["""hällo""", """!""", """how""", """are""", """you""", """?"""]						)
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""						)			,     ["""h\u00E9llo"""]						)





						def        A_							(self						)				->				Any:
												UpperCamelCase_		:							List[str]  =		RoCBertBasicTokenizer(do_lower_case=_A			,     strip_accents=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """						)			,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]						)
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""						)			,     ["""hello"""]						)





						def        A_							(self						)				->				List[str]:
												UpperCamelCase_		:							Any  =		RoCBertBasicTokenizer(do_lower_case=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """						)			,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]						)
												self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""						)			,     ["""hello"""]						)





						def        A_							(self						)				->				Union[str, Any]:
												UpperCamelCase_		:							Any  =		RoCBertBasicTokenizer(do_lower_case=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """						)			,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]						)





						def        A_							(self						)				->				List[Any]:
												UpperCamelCase_		:							List[str]  =		RoCBertBasicTokenizer(do_lower_case=_A			,     strip_accents=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """						)			,     ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]						)





						def        A_							(self						)				->				int:
												UpperCamelCase_		:							List[str]  =		RoCBertBasicTokenizer(do_lower_case=_A			,     strip_accents=_A						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """						)			,     ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]						)





						def        A_							(self						)				->				Optional[Any]:
												UpperCamelCase_		:							Union[str, Any]  =		RoCBertBasicTokenizer(do_lower_case=_A			,     never_split=["""[UNK]"""]						)

												self.assertListEqual(
												    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""						)			,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]						)





						def        A_							(self						)				->				str:
												UpperCamelCase_		:							Any  =		['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

												UpperCamelCase_		:							Any  =		{}
												for i, token in enumerate(_A						):
																		UpperCamelCase_		:							Optional[Any]  =		i
												UpperCamelCase_		:							Any  =		RoCBertWordpieceTokenizer(vocab=_A			,     unk_token="""[UNK]"""						)

												self.assertListEqual(tokenizer.tokenize(""""""						)			,     []						)

												self.assertListEqual(tokenizer.tokenize("""unwanted running"""						)			,     ["""un""", """##want""", """##ed""", """runn""", """##ing"""]						)

												self.assertListEqual(tokenizer.tokenize("""unwantedX running"""						)			,     ["""[UNK]""", """runn""", """##ing"""]						)





						def        A_							(self						)				->				Optional[Any]:
												self.assertTrue(_is_whitespace(""" """						)						)
												self.assertTrue(_is_whitespace("""\t"""						)						)
												self.assertTrue(_is_whitespace("""\r"""						)						)
												self.assertTrue(_is_whitespace("""\n"""						)						)
												self.assertTrue(_is_whitespace("""\u00A0"""						)						)

												self.assertFalse(_is_whitespace("""A"""						)						)
												self.assertFalse(_is_whitespace("""-"""						)						)





						def        A_							(self						)				->				Union[str, Any]:
												self.assertTrue(_is_control("""\u0005"""						)						)

												self.assertFalse(_is_control("""A"""						)						)
												self.assertFalse(_is_control(""" """						)						)
												self.assertFalse(_is_control("""\t"""						)						)
												self.assertFalse(_is_control("""\r"""						)						)





						def        A_							(self						)				->				List[Any]:
												self.assertTrue(_is_punctuation("""-"""						)						)
												self.assertTrue(_is_punctuation("""$"""						)						)
												self.assertTrue(_is_punctuation("""`"""						)						)
												self.assertTrue(_is_punctuation("""."""						)						)

												self.assertFalse(_is_punctuation("""A"""						)						)
												self.assertFalse(_is_punctuation(""" """						)						)





						def        A_							(self						)				->				str:
												UpperCamelCase_		:							Dict  =		self.get_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(_A						) for t in ["""Test""", """\xad""", """test"""]]			,     [["""[UNK]"""], [], ["""[UNK]"""]]						)

												if self.test_rust_tokenizer:
																		UpperCamelCase_		:							int  =		self.get_rust_tokenizer()
																		self.assertListEqual(
																		    [rust_tokenizer.tokenize(_A						) for t in ["""Test""", """\xad""", """test"""]]			,     [["""[UNK]"""], [], ["""[UNK]"""]]						)





						def        A_							(self						)				->				str:
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																								UpperCamelCase_		:							Optional[Any]  =		self.rust_tokenizer_class.from_pretrained(_A			,     **_A						)

																								UpperCamelCase_		:							str  =		f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																								UpperCamelCase_		:							Optional[int]  =		tokenizer_r.encode_plus(
																								    _A			,     return_attention_mask=_A			,     return_token_type_ids=_A			,     return_offsets_mapping=_A			,     add_special_tokens=_A			,     )

																								UpperCamelCase_		:							Optional[Any]  =		tokenizer_r.do_lower_case if hasattr(_A			,     """do_lower_case"""						) else False
																								UpperCamelCase_		:							Union[str, Any]  =		(
																								    [
																								        ((0, 0), tokenizer_r.cls_token),
																								        ((0, 1), '''A'''),
																								        ((1, 2), ''','''),
																								        ((3, 5), '''na'''),
																								        ((5, 6), '''##ï'''),
																								        ((6, 8), '''##ve'''),
																								        ((9, 15), tokenizer_r.mask_token),
																								        ((16, 21), '''Allen'''),
																								        ((21, 23), '''##NL'''),
																								        ((23, 24), '''##P'''),
																								        ((25, 33), '''sentence'''),
																								        ((33, 34), '''.'''),
																								        ((0, 0), tokenizer_r.sep_token),
																								    ]
																								    if not do_lower_case
																								    else [
																								        ((0, 0), tokenizer_r.cls_token),
																								        ((0, 1), '''a'''),
																								        ((1, 2), ''','''),
																								        ((3, 8), '''naive'''),
																								        ((9, 15), tokenizer_r.mask_token),
																								        ((16, 21), '''allen'''),
																								        ((21, 23), '''##nl'''),
																								        ((23, 24), '''##p'''),
																								        ((25, 33), '''sentence'''),
																								        ((33, 34), '''.'''),
																								        ((0, 0), tokenizer_r.sep_token),
																								    ]
																								)

																								self.assertEqual(
																								    [e[1] for e in expected_results]			,     tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]						)						)
																								self.assertEqual([e[0] for e in expected_results]			,     tokens["""offset_mapping"""]						)





						def        A_							(self						)				->				Any:
												UpperCamelCase_		:							Dict  =		['''的''', '''人''', '''有''']
												UpperCamelCase_		:							List[str]  =		''''''.join(_A						)
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																								UpperCamelCase_		:							Dict  =		True
																								UpperCamelCase_		:							Dict  =		self.tokenizer_class.from_pretrained(_A			,     **_A						)
																								UpperCamelCase_		:							Tuple  =		self.rust_tokenizer_class.from_pretrained(_A			,     **_A						)

																								UpperCamelCase_		:							List[Any]  =		tokenizer_p.encode(_A			,     add_special_tokens=_A						)
																								UpperCamelCase_		:							Any  =		tokenizer_r.encode(_A			,     add_special_tokens=_A						)

																								UpperCamelCase_		:							Any  =		tokenizer_r.convert_ids_to_tokens(_A						)
																								UpperCamelCase_		:							Any  =		tokenizer_p.convert_ids_to_tokens(_A						)

																								# it is expected that each Chinese character is not preceded by "##"
																								self.assertListEqual(_A			,     _A						)
																								self.assertListEqual(_A			,     _A						)

																								UpperCamelCase_		:							int  =		False
																								UpperCamelCase_		:							Any  =		self.rust_tokenizer_class.from_pretrained(_A			,     **_A						)
																								UpperCamelCase_		:							int  =		self.tokenizer_class.from_pretrained(_A			,     **_A						)

																								UpperCamelCase_		:							Any  =		tokenizer_r.encode(_A			,     add_special_tokens=_A						)
																								UpperCamelCase_		:							Union[str, Any]  =		tokenizer_p.encode(_A			,     add_special_tokens=_A						)

																								UpperCamelCase_		:							Optional[int]  =		tokenizer_r.convert_ids_to_tokens(_A						)
																								UpperCamelCase_		:							str  =		tokenizer_p.convert_ids_to_tokens(_A						)

																								# it is expected that only the first Chinese character is not preceded by "##".
																								UpperCamelCase_		:							Union[str, Any]  =		[
																								    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_A						)
																								]
																								self.assertListEqual(_A			,     _A						)
																								self.assertListEqual(_A			,     _A						)





						@slow
						def        A_							(self						)				->				Tuple:
												UpperCamelCase_		:							Dict  =		self.tokenizer_class(self.vocab_file			,     self.word_shape_file			,     self.word_pronunciation_file						)

												UpperCamelCase_		:							int  =		tokenizer.encode("""你好"""			,     add_special_tokens=_A						)
												UpperCamelCase_		:							Dict  =		tokenizer.encode("""你是谁"""			,     add_special_tokens=_A						)

												UpperCamelCase_		:							str  =		tokenizer.build_inputs_with_special_tokens(_A						)
												UpperCamelCase_		:							str  =		tokenizer.build_inputs_with_special_tokens(_A			,     _A						)

												assert encoded_sentence == [1] + text + [2]
												assert encoded_pair == [1] + text + [2] + text_a + [2]





						def        A_							(self						)				->				Dict:
												UpperCamelCase_		:							List[str]  =		self.get_tokenizers(do_lower_case=_A						)
												for tokenizer in tokenizers:
																		with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
																								UpperCamelCase_		:							Tuple  =		'''你好，你是谁'''
																								UpperCamelCase_		:							List[Any]  =		tokenizer.tokenize(_A						)
																								UpperCamelCase_		:							int  =		tokenizer.convert_tokens_to_ids(_A						)
																								UpperCamelCase_		:							Union[str, Any]  =		tokenizer.convert_tokens_to_shape_ids(_A						)
																								UpperCamelCase_		:							Union[str, Any]  =		tokenizer.convert_tokens_to_pronunciation_ids(_A						)
																								UpperCamelCase_		:							Union[str, Any]  =		tokenizer.prepare_for_model(
																								    _A			,     _A			,     _A			,     add_special_tokens=_A						)

																								UpperCamelCase_		:							List[str]  =		tokenizer.encode_plus(_A			,     add_special_tokens=_A						)

																								self.assertEqual(_A			,     _A						)














'''simple docstring'''





import argparse
import os
import re

import packaging.version


_UpperCamelCase						:						Union[str, Any]  =					'examples/'
_UpperCamelCase						:						List[str]  =					{
    'examples': (re.compile(R'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(R'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(R'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), R'\1version="VERSION",'),
    'doc': (re.compile(R'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
_UpperCamelCase						:						Optional[Any]  =					{
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
_UpperCamelCase						:						Any  =					'README.md'
def __UpperCAmelCase   (					A					:			Optional[int]			,       A					:			List[Any]			,       A					:			Tuple		)    ->   Dict:
			with open(A			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						UpperCAmelCase_      :       int          =       f.read()
			UpperCAmelCase_    ,      UpperCAmelCase_      :       Union[str, Any]          =       REPLACE_PATTERNS[pattern]
			UpperCAmelCase_      :       Tuple          =       replace.replace('''VERSION'''			,       A		)
			UpperCAmelCase_      :       Tuple          =       re_pattern.sub(A			,       A		)
			with open(A			,       '''w'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						f.write(A		)
def __UpperCAmelCase   (					A					:			List[str]		)    ->   Any:
			for folder, directories, fnames in os.walk(A		):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove('''research_projects'''		)
						if "legacy" in directories:
									directories.remove('''legacy'''		)
						for fname in fnames:
									if fname.endswith('''.py'''		):
												update_version_in_file(os.path.join(A			,       A		)			,       A			,       pattern='''examples'''		)
def __UpperCAmelCase   (					A					:			Tuple			,       A					:			Optional[int]=False		)    ->   Tuple:
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(A			,       A			,       A		)
			if not patch:
						update_version_in_examples(A		)
def __UpperCAmelCase   (					)    ->   int:
			UpperCAmelCase_      :       List[str]          =       '''🤗 Transformers currently provides the following architectures'''
			UpperCAmelCase_      :       int          =       '''1. Want to contribute a new model?'''
			with open(A			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						UpperCAmelCase_      :       Optional[int]          =       f.readlines()

			# Find the start of the list.
			UpperCAmelCase_      :       List[str]          =       0
			while not lines[start_index].startswith(_start_prompt		):
						start_index += 1
			start_index += 1

			UpperCAmelCase_      :       Any          =       start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt		):
						if lines[index].startswith('''1.'''		):
									UpperCAmelCase_      :       Optional[Any]          =       lines[index].replace(
									    '''https://huggingface.co/docs/diffusers/main/model_doc'''			,       '''https://huggingface.co/docs/diffusers/model_doc'''			,       )
						index += 1

			with open(A			,       '''w'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						f.writelines(A		)
def __UpperCAmelCase   (					)    ->   Dict:
			with open(REPLACE_FILES['''init''']			,       '''r'''		) as f:
						UpperCAmelCase_      :       Any          =       f.read()
			UpperCAmelCase_      :       Union[str, Any]          =       REPLACE_PATTERNS['''init'''][0].search(A		).groups()[0]
			return packaging.version.parse(A		)
def __UpperCAmelCase   (					A					:			str=False		)    ->   List[Any]:
			UpperCAmelCase_      :       Union[str, Any]          =       get_version()
			if patch and default_version.is_devrelease:
						raise ValueError('''Can\'t create a patch version from the dev branch, checkout a released version!'''		)
			if default_version.is_devrelease:
						UpperCAmelCase_      :       Optional[int]          =       default_version.base_version
			elif patch:
						UpperCAmelCase_      :       Any          =       F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
			else:
						UpperCAmelCase_      :       Optional[Any]          =       F"{default_version.major}.{default_version.minor + 1}.0"

			# Now let's ask nicely if that's the right one.
			UpperCAmelCase_      :       List[str]          =       input(F"Which version are you releasing? [{default_version}]"		)
			if len(A		) == 0:
						UpperCAmelCase_      :       Tuple          =       default_version

			print(F"Updating version to {version}."		)
			global_version_update(A			,       patch=A		)
def __UpperCAmelCase   (					)    ->   Optional[int]:
			UpperCAmelCase_      :       str          =       get_version()
			UpperCAmelCase_      :       Tuple          =       F"{current_version.major}.{current_version.minor + 1}.0.dev0"
			UpperCAmelCase_      :       Any          =       current_version.base_version

			# Check with the user we got that right.
			UpperCAmelCase_      :       List[Any]          =       input(F"Which version are we developing now? [{dev_version}]"		)
			if len(A		) == 0:
						UpperCAmelCase_      :       Optional[int]          =       dev_version

			print(F"Updating version to {version}."		)
			global_version_update(A		)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
						_UpperCamelCase						:						Tuple  =					argparse.ArgumentParser()
						parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
						parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
						_UpperCamelCase						:						Optional[Any]  =					parser.parse_args()
						if not args.post_release:
												pre_release_work(patch=args.patch)
						elif args.patch:
												print('Nothing to do after a patch :-)')
						else:
												post_release_work()


